Bridge Load Rating and Evaluation Using Digital Image Measurements
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2022-05-09
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Edition:Final Report 03/18/2019 – 12/18/2021
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Abstract:The use of digital imaging and other vision-based measurements offers many options for conducting load tests and obtaining the necessary data without having direct contact on the bridge via mounted sensor arrays. The results from this study revealed the sensitivity and accuracy of displacement measurements when compared to measurements from conventional string potentiometers mounted directly to the flange of the girder and 3D point cloud measurements. While there is not one optimal technique for measuring structural displacements based on a video, different techniques have different performance levels, and the applicability of these various methods may vary from case to case. The goal of this study was to compare the performance and accuracy of vision-based displacement measurements in the form of load testing on two bridges in Delaware, and how the data can be used to calibrate finite element models to assess bridge performance based on in-situ conditions. Results from the two diagnostic loads tests are presented. Using the data collected, results are compared to AASHTO live load distribution factors. A finite element bridge model is generated in ABAQUS and calibrated using the field measurements obtained from digital imaging. From the findings, a process to evaluate live load distribution using displacements obtained from vision-based measurement techniques is presented. Lessons learned and the impact of the vision-based measurement techniques deployed for load testing and evaluation are also presented.
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